Introduction Recently, I’ve been using Python’s yfinance library to perform some simple portfolio analysis. Rather than using a Jupyter notebook to run the Python code and visualise the results, I thought it might be a nice idea to build a .NET desktop...

Call for abstracts now open We are excited to announce the Call for Abstracts for Shiny in Production 2025, to be held on 8th-9th October 2025 in Newcastle upon Tyne, UK. This event brings together industry experts, data scientists, and developer...

Demo usage of tisthemachinelearner, in Python and R

Model-agnostic global Survival Prediction of Patients with Myeloid Leukemia in QRT/Gustave Roussy Challenge (challengedata.ens.fr): Python's survivalist Quickstart

Are you thinking about submitting a talk for ShinyConf 2025 but unsure where to start?  Here are some insights from our ShinyConf Planning Committee on what makes a great proposal. Call for Speakers is almost coming to a close (Deadline has been extended to February 9th), so here are tips to ...

Preamble This post, Part 2 in a series of two, looks at styling and deploying the Observable Framework app we built in Part 1. Codeblocks with burgundy backgrounds refer to specifc tagged commits in the accompanying GitHub repositiory. Join us for the next installment of our Shiny in Production conference! For more ...

Developing GxP-validated applications that comply with strict regulatory requirements has been a significant challenge in the past, particularly due to the lack of tooling around good software development practices. This is no longer the case, over the years, many tools have been developed to help R programmers follow good software ...